Clinical AI Developer

Role Overview
The Clinical AI Developer builds and improves the intelligence layer of DIME, turning medical knowledge and real-world data into tools that support clinical decisions. This role sits at the intersection of medicine, data, and engineering, working on systems that help doctors make better, safer decisions with full patient context.
RESPONSIBILITIES

• Develop AI-driven features for clinical decision support (CDSS)
• Translate medical knowledge into structured, usable logic and models
• Build systems for differential diagnosis, risk scoring, and clinical recommendations
• Work with structured and unstructured clinical data
• Train, evaluate, and refine machine learning models
• Ensure models are accurate, explainable, and clinically relevant
• Integrate AI outputs into the clinical workflow within the platform
• Collaborate with product and engineering teams to ensure usability and performance
• Support real-time and asynchronous AI use cases
• Validate AI outputs with clinical reasoning and evidence-based guidelines
• Monitor model performance and continuously improve accuracy
• Ensure safe usage of AI in clinical environments
  
  
  

REQUIREMENTS

• Background in Computer Science, AI, Biomedical Engineering, or related field
• 3–6+ years experience in AI/ML development
• Strong programming skills (Python preferred)
• Experience with machine learning frameworks (TensorFlow, PyTorch, or similar)
• Understanding of data structures and model evaluation techniques
• Exposure to clinical workflows or healthcare data
• Experience working with medical datasets, guidelines, or ontologies
• Familiarity with clinical decision support systems (CDSS)
• Understanding of medical standards (ICD, SNOMED, LOINC)